**Mountain View, CA, Hybrid - 3 days a week**

We are looking for a junior to mid-level backend engineer who loves to build cloud services — a systems engineer who is comfortable in every stage of the design, implementation, testing, and deployment process. In particular, we are hiring an engineer who can develop and deploy cloud-based data analytics services to be used by data engineers, analysts, and data scientists. These initial services are similar to AWS EMR-on-EKS, EMR Studio, etc.

Job Responsibilities

• Building, implementing and deploying cloud services, especially data analysis-related tools.
• Integrate with other cloud services running in Samsung private cloud.
• Participate in a globally distributed team of engineers that uses the cloud platforms to deliver services to include functional scoping and work distribution as subject matter expert

Skills & Competencies

• Strong CS Computer Science background.
• Organized and have the ability to set priorities and meet deadlines
• Able to play many roles and value the willingness to learn new skills and take on diverse responsibilities.
• Comfortable learning new techniques, languages, tools, etc.
• Ability to work with a small team of engineers to build, implement and commercialize a data analysis platform that manages tools including Spark, Flink, Airflow and Superset
• Experience with these tools and the unique trade-offs and pitfalls that arise when managing software across hundreds of servers distributed among multiple data centers.
• Ability to analyze and troubleshoot unexpected system pathologies
• Demonstrated bias for action and initiative
• Demonstrated capability to innovate with minimum supervision
• Understanding of process, including Waterfall and Agile methodologies
• Proficiency in one of the public cloud platforms such as AWS,GCP and Azure
• Good communication skills

Education & Experience

• Bachelor's degree in Computer Science or related field. A graduate degree is a plus.
• 2-5 years of experience developing cloud services, using data platform services is a big plus.
• Hands on experiences in AWS-SDKs, AWS-CLI, Golang, Java, Python, SQL, Terraform
• Hands on experiences and the internals of big data tools such Spark, Dela Lake, Jupyterhub and analytics tools
• Hands on experience in Docker, Kubernetes, Jenkins, Helm, Ansible and shell scripting
• Participation in the open-source community is a plus